Michael Geilke

According to our database, Michael Geilke authored at least 9 papers between 2011 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Online estimation of discrete, continuous, and conditional joint densities using classifier chains.

Michael Geilke, Andreas Karwath, Eibe Frank, Stefan Kramer

Data Min. Knowl. Discov., 2018

2017

Online density estimates: a probabilistic condensed representation of data for knowledge discovery.

Michael Geilke

PhD thesis, 2017

Privacy-Preserving Pattern Mining on Online Density Estimates.

Michael Geilke, Stefan Kramer

Proceedings of the IEEE International Conference on Big Knowledge, 2017

2016

Online Density Estimation of Heterogeneous Data Streams in Higher Dimensions.

Michael Geilke, Andreas Karwath, Stefan Kramer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015

Modeling recurrent distributions in streams using possible worlds.

Michael Geilke, Andreas Karwath, Stefan Kramer

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

A probabilistic condensed representation of data for stream mining.

Michael Geilke, Andreas Karwath, Stefan Kramer

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013

Online Estimation of Discrete Densities.

Michael Geilke, Eibe Frank, Andreas Karwath, Stefan Kramer

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Polynomial-Time Algorithms for Learning Typed Pattern Languages.

Michael Geilke, Sandra Zilles

Proceedings of the Language and Automata Theory and Applications, 2012

2011

Learning Relational Patterns.

Michael Geilke, Sandra Zilles

Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011